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When convergence threshold (the value to test predefined in the  problem to test when a converge happens) is set to be small enough, small number of training samples is enough for the learning program

1. OpenCV 3.1 源码编译中的编译器错误：问题：CentOS 7下，假如用户使用Anaconda发行包安装python后，OpenCV 3.1自带的Cmake会在生成makefile的过程中将python包中附带的clang编译器作为默认编译器。然而Clang编译器和OpenCV源码不兼容，不在build过程中报错。# --------------------

The weight of edges:                Page rank  -  The weight of the vertex divided by the forward link               D-Clustering - The weight of the edge decided by the kernel function ( End vert

1. Markov Chain:States in Markov Chain actually refers to "Events", a Markov Chain is essentially a event chain. However, the differences between a markov chain and a traditional event chain is that

Neural Network is a computing device that updates its parameters ( or computational steps) according to the mistakes it made. In other words, the algorithm can learn from mistakes and improve its comp

1. Removing stopping words will improve the performance of HanLp keyword module

Logistic Regression is derived from liner regression to deal with the problem of binary classification. Intuitively, the work of logistic regression is to apply a transformation on the figure of liner

Artificial neural network is a computation framework used to realize pattern recognition on certain subject. Artificial neural network is built from computational nodes which are interconnected with e

1. Notation Explaination:Put hat on top of a notation means that the new notation represents an estimation of the orginal one.

摘要：ELM算法执行过程中不必调整网络的输入权值以及隐元的偏置，学习速度快且泛化性能好，Yann LeCun质疑ELM存在命名、方法论方面存在问题，ELM发明者则认为，ELM和深度学习是相辅相成的，并且ELM可以填补CNN的理论空白。【编者按】被认为学习速度快、泛化性能好的Extreme Learning Machine（ELM，极限学习机），在国内颇有市场，但大神Yann LeC

深度学习 vs 概率图模型 vs 逻辑学发表于2015-04-30 21:55|1359次阅读| 来源quantombone|0 条评论| 作者Tomasz Malisiewicz深度学习deep learning图模型人工智能摘要：本文回顾过去50年人工智能（AI）领域形成的三大范式：逻辑学、概率方法和深度学习。文章按时间顺序展开，先回顾逻辑学和概率图方法，然后就人工智能

1. FTRL

To: IEEE copyrights@ieee.orgIEEE SMC Exco MembersHi,We feel that this case should be investigated by the IEEE SMC Society because the SMC Society is a technical co-sponsor of the ICARCV 2014

libSVM使用之--grid.py  2011-03-20 13:34:28|  分类： 机器学习 |  标签：grid  py  gnuplot  gamma  pathname  |举报|字号 订阅    下载LOFTER客户端此

CaffeTorchCuda-convnet

1. Feature:Individual measurable property of a phenomenon being observed

Magnitute: 1 (Range -1 ~ +1)Learning Rate Maximum:1/10000=0.0001

Graph Based Algorithms, why 2-D instead of 3-D ?